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Jiakui/awesome-bert resource

bert nlp papers, applications and github resources, including the newst xlnet , BERT、XLNet 相关论文和 github 项目 observed · 2026-08-28

github.com/Jiakui/awesome-bert observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 2841
  • days_rel: n/a
  • days_push: 1991
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1839 stars · 344 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated awesome-list collecting BERT and XLNet related papers, GitHub repositories, and pre-trained model resources for NLP. It links official and community implementations across TensorFlow, PyTorch, and MXNet.

Use cases

  • find BERT papers and implementations
  • learn about BERT and XLNet models
  • find pretrained BERT models in PyTorch
  • research transformer-based NLP resources
  • compare BERT implementations across frameworks

When to choose

  • you want a curated starting point for BERT research and code
  • you need links to official and third-party BERT implementations

When to avoid

  • you need a maintained library rather than a link collection
  • you need resources newer than ~2021, as the list is no longer updated

Facets

learning-resource · maturity maintenance

nlp machine-learning deep-learning deep-learning machine-learning tutorials awesome-lists python bert xlnet awesome-list papers pretrained-models transformers natural-language-processing

1 source

Member repositories

RepositoryRoleHealth v2
Jiakui/awesome-bertmain32

For agents

markdown · JSON · MCP: product_card(name="Jiakui/awesome-bert")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem